--- title: "Yining Wang · Nankai University — author profile and papers" description: "Yining Wang, Nankai University: 5 papers on Elamur Research (2024–2026), h-index 12 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yining-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yining-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yining Wang # Yining Wang Yining Wang has 5 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/), [Linbo Cao](https://md.research.elamur.ai/free/en/authors/linbo-cao/), [Chengqing Zong](https://md.research.elamur.ai/free/en/authors/chengqing-zong/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5004271697) · [ORCID](https://orcid.org/0000-0003-3538-2312) · [**h-index 12**](https://openalex.org/authors/A5004271697) · [44 works](https://openalex.org/works?filter=author.id:A5004271697) · [385 citations](https://openalex.org/works?filter=author.id:A5004271697&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yining-wang/#papers) · [🔗 Cited 23 times in our library](https://md.research.elamur.ai/free/en/authors/yining-wang/cited-by/) · [⭐ Paper Stars ranking: #8450](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8450) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yining+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yining+Wang) · [dblp](https://dblp.org/search?q=Yining+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yining+Wang) ## Affiliations [🎓**Nankai University** Tianjin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🎓**Tianjin Medical University** Tianjin · China 2026 · 1 paper*current*](https://ror.org/02mh8wx89) · [🎓**Anhui Medical University** Hefei · China 2021–2025 · 13 papers](https://ror.org/03xb04968) · [🎓**Capital Medical University** Beijing · China 2017–2025 · 6 papers](https://ror.org/013xs5b60) · [🏥**Beijing Children’s Hospital** Beijing · China 2017–2024 · 5 papers](https://ror.org/04skmn292) · [🎓**Chinese Academy of Medical Sciences & Peking Union Medical College** Beijing · China 2007–2008 · 3 papers](https://ror.org/02drdmm93) · [🏥**Plastic Surgery Hospital** Beijing · China 2007–2008 · 3 papers](https://ror.org/00fk0yb75) · [🎓**Peking University** Beijing · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Shenyang Agricultural University** Shenyang · China 2024–2025 · 2 papers](https://ror.org/01n7x9n08) · [🎓**Wuhan University** Wuhan · China 2011–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Latent semantic indexing · 1 work](https://md.research.elamur.ai/free/en/concepts/latent-semantic-indexing/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yining-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yining-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yining-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-uora-uniform-orthogonal-reinitialization-adaptation/)** *(2025 · 14 citations)* Fully fine-tuning large models is expensive in compute and in storage for per-task checkpoints. LoRA lowers this cost by training low-rank matrices. VeRA goes further: it freezes random projection matrices and trains only two scaling vectors, but it needs a high rank to stay competitive, which raises computation. The… 2. **[Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas](https://md.research.elamur.ai/free/en/papers/zhao-2024-role-play-paradox-large-language/)** *(2024 · 9 citations)* Role-play prompting, where an LLM is told to act as a teacher, scriptwriter, or even an object like a coin, is known to improve reasoning. 3. **[TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification](https://md.research.elamur.ai/free/en/papers/zhu-2025-trove-challenge-fine-grained-text/)** *(2025 · 6 citations)* TROVE frames text provenance as a fine-grained task. For every sentence of a generated or target text, a system must find the exact source sentences it came from, even when the input is long or split across several documents. It must also label how each sentence was derived: quotation, compression, inference, or… 4. **[ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments](https://md.research.elamur.ai/free/en/papers/wang-2026-reasoningguard-safeguarding-large-reasoning-models/)** *(2026 · 1 citation)* Large Reasoning Models (LRMs) such as DeepSeek-R1 often recognise a malicious request early on, yet still produce policy-violating content in the middle and later parts of their reasoning chains. 5. **[On the Representation Geometry of LoRA Model Merging](https://md.research.elamur.ai/free/en/papers/lu-2026-representation-geometry-lora-model-merging/)** *(2026)* Combining several task-specific LoRA adapters into one model without further training is hard because their low-rank updates tend to occupy misaligned subspaces. ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/) ×3 - [Linbo Cao](https://md.research.elamur.ai/free/en/authors/linbo-cao/) ×2 - [Chengqing Zong](https://md.research.elamur.ai/free/en/authors/chengqing-zong/) - [Chenyang Lu](https://md.research.elamur.ai/free/en/authors/chenyang-lu/) - [Feifei Zhai](https://md.research.elamur.ai/free/en/authors/feifei-zhai/) - [Jiaru Li](https://md.research.elamur.ai/free/en/authors/jiaru-li/) - [Junnan Zhu](https://md.research.elamur.ai/free/en/authors/junnan-zhu/) - [Mi Zhang](https://md.research.elamur.ai/free/en/authors/mi-zhang/) - [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/) - [Shuhao Guan](https://md.research.elamur.ai/free/en/authors/shuhao-guan/) - [Xueyan Zhang](https://md.research.elamur.ai/free/en/authors/xueyan-zhang/) - [Yu Zhou](https://md.research.elamur.ai/free/en/authors/yu-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yining-wang/cited-by/). Updated 1 November 2026